Leveraging recent advances in generative AI, multi-agent systems are increasingly being
developed to enhance the functionality and efficiency of smart city applications. This paper …

To solve the city's traffic congestion problem, micro-traffic simulation is widely used to
analyze the current situation and implement a plan to solve the problem. With the nature of …

In order to solve the integration value of information technology and education, it is mainly
reflected in the container for storing and disseminating information, the problem is that …

Artificial intelligence refers to a simulation extension and expansion technology that has
found its presence in various applications and research domains. Artificial intelligence …

In response to the demand for green city construction, low-carbon travel standards have
been further implemented. This research focuses on intelligent transportation management …

This study strives to promote the state of traffic impact assessment through high-end visual
analytics by incorporating spatial and temporal data visualization to enhance traffic …

In the contemporary world, transportation is one of the foremost necessities for modern
society, particularly within urban locales. Effective traffic management and planning …

Abstract (EN) This research presents significant progress in applying the car following model
to traffic simulation visualization, enabling the effective representation of traffic conditions in …

Recently, urban rail transit (URT) has occupied a core position in urban transportation,
effectively solving the problem of congestion caused by urban transportation. However, the …

In the process of unified data processing, due to the lack of analysis of its spatio-temporal
attributes, the fitting effect of the data corresponding to the same household is poor …